Numpy arg functions and sorting

Numpyfunc.ipynb

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    "import numpy as np "
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   "source": [
    "a = np.arange(6)"
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    "b = np.array([1,2,5,8,5,6,45,56,1,2,6,5,56,5,5,89,7,5,6,5])"
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       "array([[ 1,  2,  5,  8],\n",
       "       [ 5,  6, 45, 56],\n",
       "       [ 1,  2,  6,  5],\n",
       "       [56,  5,  5, 89],\n",
       "       [ 7,  5,  6,  5]])"
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     "execution_count": 19,
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    "b.reshape(5,4)"
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       "array([ 1,  2,  5,  8,  5,  6, 45, 56,  1,  2,  6,  5, 56,  5,  5, 89,  7,\n",
       "        5,  6,  5])"
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    "b"
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   "execution_count": 21,
   "id": "c74971c9",
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      "text/plain": [
       "array([ 0,  8,  9,  1, 11, 17, 14, 13,  2, 19,  4, 10,  5, 18, 16,  3,  6,\n",
       "        7, 12, 15], dtype=int64)"
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     "execution_count": 21,
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   "source": [
    "np.argsort(b)"
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   "source": [
    "np.argmin(b)"
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   "source": [
    "np.armin gives the first element of argsort \n"
   ]
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   "execution_count": 14,
   "id": "b4593d62",
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     "data": {
      "text/plain": [
       "15"
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     "execution_count": 14,
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   "source": [
    "np.argmax(b)"
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   "metadata": {},
   "source": [
    "np.argmax gives the last element of argsort "
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   "execution_count": null,
   "id": "afda548c",
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